Visual analytics on recently-captured data from video cameras has emerged as an important class of workloads in edge computing. These workloads make intense processing demands on cloudlets, whose elasticity is limited by their smaller physical and electrical footprint relative to exascale cloud data centers. In this paper, we show how
JMA Wireless, Amazon Web Services (AWS) and Crown Castle have completed a private LTE network deployment for Carnegie Mellon University using Citizens Broadband Radio Service (CBRS) spectrum. The CBRS network took less than three months to construct and commission, and first went live this summer in June. JMA and AWS
In edge computing, network latency is key. Edge-native applications often benefit from the lowest latency and the least latency variation possible. For many applications, network round trip latencies less than 50ms are necessary to provide acceptable user experience. Some applications requiring near real-time control or extremely fast response need even
Like so many of us, I recently needed to search online for a Covid 19 vaccine appointment. I found a site that did a particularly good job of identifying locations with open appointment slots near me and enthusiastically began a frantic cycle of refreshing, entering my information and requesting the
Wearable Cognitive Assistance (WCA) amplifies human cognition in real time through a wearable device and low-latency wireless access to edge computing infrastructure. It is inspired by, and broadens, the metaphor of GPS navigation tools that provide real-time step-by-step guidance, with prompt error detection and correction. WCA applications are likely to
A discussion with Mahadev Satyanarayanan, the Carnegie Group University professor of computer scienceIn November 2020, the Deloitte Cloud Institute invited Mahadev Satyanarayanan, the Carnegie Group University Professor of Computer Science at Carnegie Mellon University, as the first Deloitte Cloud Institute Fellow.1 Dr. Satyanarayanan (Satya as he’s popularly known)
Wearable cognitive assistants (WCA) are anticipated to become a widely-used application class, in conjunction with emerging network infrastructures like 5G that incorporate edge computing capabilities. While prototypical studies of such applications exist today, the relationship between infrastructure service provisioning and its implication for WCA usability is largely unexplored despite the
Source: https://www.internetexchangemap.com/ In the 1980s, there were only a handful of places in the public internet where internet service providers could connect with the public internet to pass data between each other and with their users. These places, known as internet exchange points, were located at the
This position paper examines a spectrum of approaches to overcoming the limited computing power of mobile devices caused by their need to be small, lightweight and energy efficient. At one extreme is offloading of compute-intensive operations to a cloudlet nearby. At the other extreme is the use of fixed-function hardware
IMAGE CREDIT: Pavan Trikutam -- Unsplashed In the mid-1980s, Bell Labs conducted a human-factors study to understand how telephone users conceptualized the telephone network. Within the switching engineering division, we thought of the network as a complex collection of switching, transmission and operation systems interconnected by a web of copper
